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In this work, we show how centrality computations can be regularized to reach higher performance.
The resulting equations are generally ill-conditioned, but can be regularized by using a small number of independent measurements.
In this case, the blind deconvolution problem can be regularized and the sharp version of the blurry image can be recovered at a new latent semantic level.
The solution of a Fredholm integral equation of the first kind which is, in general, an ill-posed problem, can be regularized by the maximum entropy method (MEM ).
One of the main advantages of the velocity control method is the simplicity with which the inverse problem can be regularized, irrespective of the direction of arrival of the sound to be reproduced.
From the general theory we know that such a system can be regularized to a Fredholm one.
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If we do not consider to propagate the second-order statistics of the estimate, like in the traditional Kalman filter, the state noise minimization term in (15) can also be regularized by Q instead of M t|t−1.
Consequently, such models must be regularized to obtain a sequence of well-posed equations which, at least in principle, can be approximately solved by a computer.
So, ill-posed problems need to be regularized.
To avoid the ill-posed nature, the problem must be regularized by making (hopefully reasonable) assumptions.
Either they should be regularized or they should go entirely".
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